Global Equities Quant Researcher: Alpha Signals & Risk

Ashby; New York (NY); On-site; USD 200,000 - 350,000; Full time

Benefits offered by this job

Discretionary annual bonus

Private medical, dental, vision, life

Free on-site lunch

Tuition Reimbursement Program

Job summary

Old Mission in New York City is seeking a Quantitative Researcher to design, research, and deploy systematic trading strategies across Global Equities. You will own the research process end-to-end, from alpha generation to signal research, with a focus on portfolio optimization, risk management, and performance evaluation.

Expect to collaborate with researchers, traders, and engineers to productionize models, monitor live strategies, and iterate to improve risk-adjusted returns in a fast-paced,

Qualifications

• Advanced degree in a quantitative field or equivalent research experience.
• 4+ years in quantitative research or systematic trading in global equities.
• Strong programming and data handling capabilities in Python.
• Proven ability to validate signals and manage model risk.

Responsibilities

• Research, develop, and implement quantitative trading strategies across global equity markets.
• Identify and test alpha signals using large datasets.
• Perform statistical analysis, feature engineering, and model validation.
• Design portfolio construction and optimization with risk controls.
• Backtest, attribute performance, and iterate to improve returns.
• Collaborate with researchers, traders, and engineers to productionize models.
• Monitor live strategies and adapt to regime changes.

Skills

Quantitative research

Portfolio risk management

Data analysis

Backtesting

Python

Communication

Education

Degree in Mathematics, Physics, Statistics, Computer Science or related field

Tools

Python

Pandas

NumPy

Job description

Old Mission in New York City is seeking a Quantitative Researcher to design, research, and deploy systematic trading strategies across Global Equities. You will own the research process end-to-end, from alpha generation to signal research, with a focus on portfolio optimization, risk management, and performance evaluation.

Expect to collaborate with researchers, traders, and engineers to productionize models, monitor live strategies, and iterate to improve risk-adjusted returns in a fast-paced,